Monte Carlo analysis has so far been the corner stone for analog statistical simulations. Fast and accurate simulations are necessary for stringent time-to-market, design for manu...
Probabilistic system simulations for analog circuits have traditionally been handled with Monte Carlo analysis. For a manufacturable design, fast and accurate simulations are nece...
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
A methodology for hierarchicalstatistical circuit characterization which does not rely upon circuit-level Monte Carlo simulation is presented. The methodology uses principalcompon...
Eric Felt, Stefano Zanella, Carlo Guardiani, Alber...
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...